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An effective feature extractor is important to extract most discriminant features from the wood texture in order to distinguish the wood species accurately.
Feature selection is a key issue in pattern recognition, specially when prior knowledge of the most discriminant features is not available.
The goal of feature selection is to select the most discriminant features from the original features [6].
The top ranked features represent the most discriminant features while the lower ranked ones are relatively of lower in class discriminatory ability when using a nearest neighbour classifier.
PCA depends upon most expressive features (MEFs) that can be different from most discriminant features (MDFs) [9]; therefore, we also implement LDA that relies on MDFs.
It was also found, based on the selected features, that portions of the prefrontal cortex, orbitofrontal cortex, parietal lobe and insula regions provided the most discriminant features for classification, in line with results reported in previous studies.
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Among hematological data, leukocyte count was the most discriminant feature.
Looking at the final 4 most discriminant spectral features F1 F4 in Table 3, it can be noticed that none of them is relative to DR spectra.
In L-type BSE, the most discriminant molecular feature was the lower level of diglycosylated PrPres (4, 5 ).
These features are then ranked according to their Pearson correlation with respect to the clinical labels, and are further sieved to select the most discriminant subset of features using an SVM-based feature selection algorithm.
The independence score I r corresponding to the feature at j in the sample along with the discriminatory score P ̂ j can be used to select the most independent set of discriminant features.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com